PMID- 22963517
OWN - NLM
STAT- MEDLINE
DCOM- 20121218
LR  - 20240117
IS  - 1532-429X (Electronic)
IS  - 1097-6647 (Print)
IS  - 1097-6647 (Linking)
VI  - 14
IP  - 1
DP  - 2012 Sep 10
TI  - Extracellular volume fraction mapping in the myocardium, part 1: evaluation of an 
      automated method.
PG  - 63
LID - 10.1186/1532-429X-14-63 [doi]
AB  - BACKGROUND: Disturbances in the myocardial extracellular volume fraction (ECV), 
      such as diffuse or focal myocardial fibrosis or edema, are hallmarks of heart 
      disease. Diffuse ECV changes are difficult to assess or quantify with 
      cardiovascular magnetic resonance (CMR) using conventional late gadolinium 
      enhancement (LGE), or pre- or post-contrast T1-mapping alone. ECV measurement 
      circumvents factors that confound T1-weighted images or T1-maps, and has been 
      shown to correlate well with diffuse myocardial fibrosis. The goal of this study 
      was to develop and evaluate an automated method for producing a pixel-wise map of 
      ECV that would be adequately robust for clinical work flow. METHODS: ECV maps 
      were automatically generated from T1-maps acquired pre- and post-contrast 
      calibrated by blood hematocrit. The algorithm incorporates correction of 
      respiratory motion that occurs due to insufficient breath-holding and due to 
      misregistration between breath-holds, as well as automated identification of the 
      blood pool. Images were visually scored on a 5-point scale from non-diagnostic 
      (1) to excellent (5). RESULTS: The quality score of ECV maps was 4.23 +/- 0.83 (m +/- 
      SD), scored for n=600 maps from 338 patients with 83% either excellent or good. 
      Co-registration of the pre-and post-contrast images improved the image quality 
      for ECV maps in 81% of the cases. ECV of normal myocardium was 25.4 +/- 2.5% (m +/- 
      SD) using motion correction and co-registration values and was 31.5 +/- 8.7% 
      without motion correction and co-registration. CONCLUSIONS: Fully automated 
      motion correction and co-registration of breath-holds significantly improve the 
      quality of ECV maps, thus making the generation of ECV-maps feasible for clinical 
      work flow.
FAU - Kellman, Peter
AU  - Kellman P
AD  - National Heart, Lung, and Blood Institute, National Institutes of Health, 
      Bethesda, MD, USA. kellmanp@nhlbi.nih.gov
FAU - Wilson, Joel R
AU  - Wilson JR
FAU - Xue, Hui
AU  - Xue H
FAU - Ugander, Martin
AU  - Ugander M
FAU - Arai, Andrew E
AU  - Arai AE
LA  - eng
GR  - ZIA HL004607-14/ImNIH/Intramural NIH HHS/United States
GR  - ZID HL006140-02/ImNIH/Intramural NIH HHS/United States
GR  - ZID HL006140-01/ImNIH/Intramural NIH HHS/United States
GR  - ZIE HL006139-02/ImNIH/Intramural NIH HHS/United States
GR  - ZIE HL006139-01/ImNIH/Intramural NIH HHS/United States
PT  - Comparative Study
PT  - Journal Article
DEP - 20120910
PL  - England
TA  - J Cardiovasc Magn Reson
JT  - Journal of cardiovascular magnetic resonance : official journal of the Society 
      for Cardiovascular Magnetic Resonance
JID - 9815616
SB  - IM
MH  - Aged
MH  - *Algorithms
MH  - Cardiomyopathies/*pathology
MH  - Female
MH  - Fibrosis
MH  - Follow-Up Studies
MH  - Humans
MH  - Image Enhancement/*methods
MH  - Magnetic Resonance Imaging, Cine/*methods
MH  - Male
MH  - Middle Aged
MH  - Myocardium/*pathology
MH  - Retrospective Studies
PMC - PMC3441905
EDAT- 2012/09/12 06:00
MHDA- 2012/12/19 06:00
PMCR- 2012/09/10
CRDT- 2012/09/12 06:00
PHST- 2012/05/02 00:00 [received]
PHST- 2012/09/03 00:00 [accepted]
PHST- 2012/09/12 06:00 [entrez]
PHST- 2012/09/12 06:00 [pubmed]
PHST- 2012/12/19 06:00 [medline]
PHST- 2012/09/10 00:00 [pmc-release]
AID - S1097-6647(23)00686-5 [pii]
AID - 1532-429X-14-63 [pii]
AID - 10.1186/1532-429X-14-63 [doi]
PST - epublish
SO  - J Cardiovasc Magn Reson. 2012 Sep 10;14(1):63. doi: 10.1186/1532-429X-14-63.